Voice synthesized participatory rhyming chat bot

ABSTRACT

Among other things, embodiments of the present disclosure may be used to help train speech recognizers for improving generalized voice experience quality in a chat bot system. In some embodiments, the system provides users with games to play to increase user engagement with the chat bot system.

CLAIM OF PRIORITY

This application is a continuation application of U.S. patentapplication Ser. No. 15/623,124, filed Jun. 14, 2017; which applicationclaims the benefit of priority to U.S. Provisional Application Ser. No.62/478,144, filed on Mar. 29, 2017, and which applications areincorporated herein by reference in their entirety.

BACKGROUND

“Chat hots” are software applications that conduct conversations withusers. Embodiments of the present disclosure are directed generally to aconversational chat bot that can communicate with users interactivelyusing a rhyming synthesized voice.

BRIEF DESCRIPTION OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like numeralsmay describe similar components in different views. Like numerals havingdifferent letter suffixes may represent different instances of similarcomponents. Some embodiments are illustrated by way of example, and notlimitation, in the figures of the accompanying drawings in which:

FIG. 1 is a block diagram illustrating an exemplary system according tovarious aspects of the disclosure.

FIG. 2 is a flow diagram illustrating an exemplary method according tovarious aspects of the disclosure.

FIGS. 3A and 3B illustrate various aspects of the method in FIG. 2.

DETAILED DESCRIPTION

The description that follows includes systems, methods, techniques,instruction sequences, and computing machine program products thatembody illustrative embodiments of the disclosure. In the followingdescription, for the purposes of explanation, numerous specific detailsare set forth in order to provide an understanding of variousembodiments of the inventive subject matter. It will be evident,however, to those skilled in the art, that embodiments of the inventivesubject matter may be practiced without these specific details. Ingeneral, well-known instruction instances, protocols, structures, andtechniques are not necessarily shown in detail.

Among other things, embodiments of the present disclosure may be used tohelp train speech recognizers for improving generalized voice experiencequality in a chat bot system. In some embodiments, the system providesusers with games to play to increase user engagement with the chat botsystem. The embodiments of the present disclosure may enable otherexperiences, such as poetry or love letter generation, etc. Embodimentsof the disclosure may also enable a chat hot to participate in the musiccreation process in a social way (e.g., via a social game).

Embodiments of the present disclosure described herein may beimplemented using any combination of hardware, firmware, and software.Embodiments may also be implemented as instructions stored on amachine-readable storage device, which may be read and executed by atleast one processor to perform the operations described herein. Amachine-readable storage device may include any non-transitory mechanismfor storing information in a form readable by a machine (e.g., acomputer). For example, a machine-readable storage device may includeread-only memory (ROM), random-access memory (RAM), magnetic diskstorage media, optical storage media, flash-memory devices, and otherstorage devices and media.

Embodiments of the present disclosure may include, or may operate inconjunction with, various logic, components, modules, and mechanisms.Such components may include any combination of hardware, software, orfirmware communicatively coupled to one or more processors in order tocarry out the operations described herein. Components may be hardwarecomponents, and as such components may be considered tangible entitiescapable of performing specified operations and may be configured orarranged in a certain manner. For example, circuits may be arranged(e.g., internally or with respect to external entities such as othercircuits) in a specified manner as a component. The whole or part of oneor more computer systems (e.g., a standalone, client or server computersystem) or one or more hardware processors may be configured by firmwareor software (e.g., instructions, an application portion, or anapplication) as a component that operates to perform specifiedoperations. In an example, the software may reside on a machine-readablemedium.

In some exemplary embodiments, software, when executed by the underlyinghardware of the component, causes the hardware to perform the specifiedoperations. Accordingly, the term hardware component is understood toencompass a tangible entity, be that an entity that is physicallyconstructed, specifically configured (e.g., hardwired), or temporarily(e.g., transitorily) configured (e.g., programmed) to operate in aspecified manner or to perform part or all of any operation describedherein. Considering examples in which components are temporarilyconfigured, each of the modules need not be instantiated at any onemoment in time. For example, where the components comprise ageneral-purpose hardware processor configured using software; thegeneral-purpose hardware processor may be configured as respectivedifferent components at different times. Software may accordinglyconfigure a hardware processor, for example, to constitute a particularcomponent at one instance of time and to constitute a differentcomponent at a different instance of time. Components may also besoftware or firmware components, which operate to perform themethodologies described herein.

FIG. 1 is a block diagram illustrating an exemplary embodiment of acomputer system 100, within which a set or sequence of instructions maybe executed to cause the system to perform any of the functionalitydiscussed herein. In some exemplary embodiments, the system 100 mayoperate as a standalone device or may be connected (e.g., networked) toother machines. In a networked deployment, the system may operate in thecapacity of either a server or a client system in server-client networkenvironments, or it may act as a peer machine in peer-to-peer (ordistributed) network environments. The system may be an onboard vehiclesystem, wearable device, personal computer (PC), a tablet PC, a hybridtablet, a personal digital assistant (PDA), a mobile telephone, or anymachine capable of executing instructions (sequential or otherwise) thatspecify actions to be taken by that machine.

While only a single computer system is illustrated in FIG. 1, the terms“system,” “machine,” or “device” may include any collection of systems,machines, or devices that individually or jointly perform variousfunctionality of the embodiments of the present disclosure. Similarly,the term “processor-based system” may include any set of one or moremachines that are controlled by or operated by a processor (e.g., acomputer) to individually or jointly execute instructions to perform anyone or more of the methodologies discussed herein.

The exemplary computer system 100 in FIG. 1 includes a processor 102(e.g., a central processing unit (CPU), a graphics processing unit (GPU)or both, processor cores, compute nodes, etc.), a main memory 104 and astatic memory 106, which communicate with each other via a link 108(e.g., bus). The computer system 100 may further include a video displayunit 110, an alphanumeric input device 112 (e.g., a keyboard), and auser interface (UI) navigation device 114 (e.g., a mouse). In oneembodiment, the video display unit 110, input device 112 and UInavigation device 114 are incorporated into a touch screen display. Thecomputer system 100 may additionally include a storage device 116 (e.g.,a drive unit), a signal generation device 118 (e.g., a speaker), anetwork interface device 120, and one or more sensors (not shown), suchas a global positioning system (UPS) sensor, compass, accelerometer, orother sensor.

The storage device 116 includes a machine-readable medium 122 on whichis stored one or more sets of data structures and instructions 124(e.g., software) embodying or utilized by any one or more of themethodologies or functions described herein. The instructions 124 mayalso reside, completely or at least partially, within the main memory104, static memory 106, and/or within the processor 102 during executionthereof by the computer system 100, with the main memory 104, staticmemory 106, and the processor 102 also constituting machine-readablemedia.

While the machine-readable medium 122 is illustrated to be a singlemedium, the term “machine-readable medium” may include a single mediumor multiple media (e.g., a centralized or distributed database, and/orassociated caches and servers) that store the one or more instructions124. The term “machine-readable medium” may include any tangible mediumthat is capable of storing, encoding or carrying instructions forexecution by the machine and that cause the machine to perform any oneor more of the methodologies of the present disclosure or that iscapable of storing, encoding or carrying data structures utilized by orassociated with such instructions. The term “machine-readable medium”may include, for example, solid-state memories, and optical and magneticmedia. Specific examples of machine-readable media include non-volatilememory, including but not limited to, by way of example, semiconductormemory devices (e.g., electrically programmable read-only memory(EPROM), electrically erasable programmable read-only memory (EEPROM))and flash memory devices; magnetic disks such as internal hard disks andremovable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.

The instructions 124 may be transmitted or received over acommunications network 126 using a transmission medium via the networkinterface device 120 utilizing any one of a number of well-knowntransfer protocols (e.g., HTTP). Examples of communication networksinclude a local area network (LAN), a wide area network (WAN), theInternet, mobile telephone networks, plain old telephone (POTS)networks, and wireless data networks (e.g., Wi-Fi, 3G, and 4G LTE/LTE-Aor WiMAX networks). The term “transmission medium” shall be taken toinclude any intangible medium that is capable of storing, encoding, orcarrying instructions for execution by the machine, and includes digitalor analog communications signals or other intangible medium tofacilitate communication of such software.

In various exemplary embodiments of the present disclosure, filters maybe used to narrow down a set of items in a repository to a set of itemsthat match a particular set of criteria. For example, when browsing aSharePoint document library, users can use filters associated withcolumn headings to filter documents by their value in the associatedcolumn. Additionally, embodiments of the disclosure can provide smartfilter suggestions based on the shape of the data a user is currentlylooking at.

The embodiments of the present disclosure provide a number of advantagesand improvements to conventional virtual assistant and chat bot systems.For example, many conventional speech recognizers are prone to error andrequire a considerable amount of domain-specific and speaker-specifictraining data. However, such data may take a considerable period of timeto gather based on typical user interactions with conventional systems.With embodiments of the present disclosure, by contrast, systems cangather sufficient data in order to power a generalized voice experiencerelatively quickly, but without burdening the user to engage in boringor unpleasant interactions to provide speech data to the system.Instead, engaging the user in a rhyming game allows the system to gatherlarge amounts of speech data for a user that can be transferred directlyto training machine learning algorithms for enhancing the operation andaccuracy of the general voice to voice user interactive/conversationalchat bot or virtual assistant.

FIG. 2 depicts an exemplary process according to various aspects of thepresent disclosure. In this example, method 200 includes receiving avoice input (205), analyzing the voice input (210), and transmittingvoice instructions and/or alerts based on the analysis (215). The stepsof method 200 may be performed in whole or in part, may be performed inconjunction each other as well as with some or all of the steps in othermethods, and may be performed by any number of different systems, suchas the system described in FIG. 1.

Embodiments of the present disclosure can receive (205) a variety ofdifferent voice inputs from a variety of different sources. In someembodiments, for example, a server computer system implementing thefunctionality of method 200 (e.g., computer system 100 shown in FIG. 1)communicates with one or more client computing devices over a network(e.g., network 126) to receive electronic communications containingvoice inputs from the respective users of the client computing devices.

Though the present disclosure focuses on inputs from users, and outputsfrom the system, in a voice format (e.g., a voice recording, synthesizedspeech, etc.), the system may send and receive content in other formatsas well, such as text, video, and images. In this context, an“electronic communication” may include a data packet, text message,email, and/or any other type of electronic communication in any desiredformat. For example, electronic communications carrying digitalrecordings of the user's voice inputs (e.g., past recordings, real-time,or near-real-time) may be transmitted within data packets over a networkto the server computer system implementing the functionality f method200.

The system may analyze (210) voice inputs received from a user'scomputing device for a variety of purposes. For example, the system mayawait and respond to special triggers given by the user, includingsignals about whether the user was new to, or had never communicatedwith, a chat bot hosted by the system. The system may accordingly logthe user as a new user and utilize the rhyming feature described hereinto introduce the user to the system.

For example, the system may analyze an initial voice input from a userto determine that the user is attempting to initiate communications withthe system, such as to interface with a virtual assistant or chat bothosted by the system. The system may also analyze (210) other voiceinputs for other purposes, such as to identify instructions from theuser, or to identify data and information contained in the voice inputs.The system may also transmit (215) electronic communications containinginstructions, data, alert, and other content to the client computingdevice of a user or to other systems and devices. Such content may be inany suitable format.

In some exemplary embodiments, the system may receive an electroniccommunication containing a first voice input (e.g., from a clientcomputing device of a user over a network). For example, the first voiceinput from the user may invoke a rhyming chat bot application on thesystem (e.g., “initiate rhyming chat bot”).

In response to the first voice input, the system may transmit anelectronic communication to the user's computing device containing voiceinstructions to the user to provide further input. For example, thevirtual assistant or chat bot operating on the system may includefunctionality programmed via one or more software applications (alsoreferred to herein as a “skill” of the virtual assistant or chat bot)for performing an interactive rhyming experience with the user. In suchcases, the system may transmit an electronic communication containinginstructions to the user to provide a second voice input in accordancewith a rhyme scheme.

The system may be adapted to interact with the user with a variety ofdifferent rhyme schemes, such as: a perfect rhyme, an imperfect rhyme,an identical rhyme, an eye rhyme, a half rhyme, a multi-syllabic rhyme,a prime rhyme, a pararhyme, and/or an internal rhyme. For example, theinstructions to the user to provide the second voice input may providethe user an introduction with an example of a tail rhyme scheme, suchas:

“Here's a skill I had, that you didn't know”;

“Rhymes with code just like falling snow”;

“Rhyme with me, go toe to toe”;

“Maybe you can match my glow.”

In this example, the rhyme scheme may be referred to as “AAAA,” which isa rhyme scheme where each of the four verses has the same tail rhyme.The user, in turn, provides a second voice input where the user tries torhyme with “glow,” “toe,” “snow,” and/or “know,” pitched in theintroduction. The user's computing device transmits an electroniccommunication containing the second voice input from the user to thesystem, and the system analyzes (210) the second voice input todetermine whether the second voice input complies with the rhyme scheme.

Based on whether the user's second voice input complies with the rhymescheme, the system may either transmit instructions for the user toprovide a third voice input (e.g., in the form of another set of lyricsdifferent from the first set that the user again responds to) or analert that the second voice input does not comply with the rhyme scheme.

For example, if the user responds to the intro above (i.e., the user'ssecond voice input) with: “I'm smart and stealth just like a crow,” thesystem may determine the user's second voice input complies with therhyme scheme and provide another set of lyrics, such as anotherplurality of verses (different from the first set) giving an example ofthe rhyme scheme, such as: “Ok, I heard you show;” “but I drop lines,and I got flow” to prompt the user to provide the third voice inputstaying with the same rhyme scheme. The process can repeat as many timesas desired until the rhyme skill/battle ends (e.g. after some specifiednumber of turns, such as 5 successful turns where the user rhymedcorrectly).

If, on the other hand, the user's voice input does not comply with therhyme scheme (e.g., the user tries to rhyme “toe” with “Joseph” insteadof “Joe”), then the system may transmit an alert to warn the user thatthey failed to provide an adequate response in accordance with the rhymescheme. The user may receive the alert and/or further instructions in asynthesized voice, visually (e.g., in a popup or bubble on the displayof the user's computing device), in an image, or any other desiredformat. For example, if the user's second voice input responds to theintro above with: “this is a fun skill to play, please call me Joseph,”the chat bot might provide an alert saying: “your response was a littleun-ordinary”; “Get yourself a rhyming dictionary!” The chat bot then maysay “I drop hot lines, and I got flow,” giving the user another chanceto respond within the rhyming scheme. If the user repeatedly rhymesincorrectly for whatever reason (bad speech recognition or just badrhymes), the system may exit the skill (e.g., after three wrongattempts).

In some embodiments, the alert may be customized to the user's secondvoice input to help demonstrate to the user how to comply with the rhymescheme. For instance, continuing with the example above where the userreplies with “this is a fun skill to play, please call me Joseph,” thesystem may analyze the response and search for alternate words with thesame/similar meaning, as well as equivalent terms, that could satisfythe rhyme scheme. In this example, the system may determine that “Joe”could be used instead of “Joseph” and indicate (verbally, in text, etc.)to the user suggesting the alternative.

In some embodiments, the system may be adapted to detect and respond tooffensive words and phrases, regardless of their suitability within therhyme scheme. For example, if the user insults the chat bot, flirts withthe chat bot, is discriminatory, or otherwise offensive, the chat botmay transmit an alert to the user's computing device include a warningregarding the offensive content. The system may warn the user innon-rhyme (e.g., using the chat bot's regular non-rhyming/non-singingvoice). After repeated offensive content from the user, the system mayterminate the skill as described below.

In some embodiments, the system may consider user settings indetermining content that is offensive. For example, a parent of a childmay wish to set (e.g., through a parental controls interface protectedby a password) settings to cause the system to warn the user when anyoffensive language or content is provided by the user. On the otherhand, an adult user may remove restrictions on certain words andphrases, or set a level (e.g., low, medium, or high) for warningsagainst offensive content.

After the rhyme skill has completed (e.g. the user completed thechallenge successfully by completing a predetermined number of turns insuccessful rhyme), or the user did not complete the challenge correctly(e.g. some number of incorrect rhymes), then the system may provideadditional instructions to the user to encourage the user to talk to thesystem a different way (e.g. just normally chat). For example: “as faras rhymes go, those were top shelf. But now why don't you tell me alittle about yourself?”, “and P.S. next time you want to rhyme with me,just say ‘rhyme with me’.”

In some embodiments, the system may employ a rhyming library for usedetecting various forms of rhymes from the user, from perfect rhymes(freeze vs breeze) to slant/half rhymes (adios vs coast), using analgorithm described in this brief in the detection of perfect andslant/half rhymes from free-form user input.

The system may utilize various speech recognition systems foridentifying voice input from a user (e.g., provided via a microphone onthe user's client computing device). Some embodiments may be adapted totranslate speech into text (e.g., to be fed into the rhyming library).

The system may include a text to speech synthesis system (TTS) capableof generating spoken speech from free-form written words from anysuitable source, including the chat reply index of the chat hot. Thesystem may also generate a pronunciation for any given word in caseswhere the rhyming dictionary does not have a canonical pronunciationlisted for it as a known word.

Embodiments of the present disclosure may include a speech auto-tunesystem adapted to enhancing the audio produced by the system (e.g., bythe TTS) to introduce a rhyming musicality to match the tempo and pitchto a baseline music sample, with the optional addition of backgroundmusic/tracks to add a rhythm/percussion. In this manner, theinstructions provided by the system to the user may be matched to atempo and/or pitch of a sample of music.

In some embodiments, the system may receive input from the user forcontrolling various features and aspects of the virtual assistant orchat hot. For example, the user may initiate the rhyming interaction bygiving the chat bot one or more rhyming measures, and the chat bot canrespond with one or more measures in accordance with the user's input,both related to the subject matter of the user's input, as well asdetecting and comporting to the rhyming scheme provided by the user. Theuser may also instruct the system to share the rhyming interaction onsocial media with other users.

In some embodiments, the user can provide any part of a rhyme to thesystem for the system to fill in or complete. The user may also provide(e.g., in the user's voice input) constraints or parameters affectingthe instructions provided to the user for providing voice input. Forexample, the user may define parameters such as the number of syllablesin the bar/measure, the rhyme scheme, or even the content of the rhymesuch as “give me a rhyme about my favorite tv show Naruto Shippuden.”

The following example describes various features of rhyme detectiontechnology that may be used in conjunction with analyzing the voiceinput from a user. In this example, the system first breaks the user'swords up into syllables, where each syllable has an onset and a rhyme(where a rhyme has a nucleus and a coda). Each piece of a syllable is aphoneme (the smallest individual piece of a word that cannot be brokendown further, often comprised of a single vowel or consonant sound, orsometimes both [e.g. a voiced consonant]).

The system may be adapted to interact with users in any desiredlanguage. In English, for example, each word has either, both, or noneof: a primary stress and a secondary stress. Consider, for example, theword “accumulation,” which has secondary stress indicated by “,” and aprimary stress indicated by “'” as: accu,mula'tion. It has the followingphonemes indicating stress (which the system may discover using arhyming dictionary, where: 1 indicates primary stress, 2 indicatessecondary stress, and 0 indicates no stress: AH0 K Y UW2 M Y AH0 I, EY1SH AH0 N.

Continuing this example, working right to left on a word, the systemfinds the highest stressed syllable (whether primary or secondary). Therhyming phonemes for this word would be every at and including the rightmost highest stressed phoneme (EY1), all the way to the end of the word(becoming EY1 SH AH0N).

The system may repeat the above steps for some other word (e.g. “nation”which rhymes perfealy with accumulation) which has the followingphonemes (N EY1 SH AH0 N) and rhyming phonemes which match in the sameway (EY1 SH AH0 N). If the phonemes match in this way, the system mayconsider this word a perfect rhyme.

The system may further employ additional novel techniques fordiscovering if words are a slant rhyme, which occurs most often in realR&B/hip-hop, rap songs. With regards to slant rhymes, for example, thesystem may normalize various phonemes of the word to work with thepreceding example (e.g. fricative S and Z become equal). Additionally,all plosives (also known as “stops”) are considered by the system asequal for the rhyming purpose (p, b, t, k, d, g).

Furthermore, all r-colored vowels and neighboring phonemes that comprisethe r-colored vowels are considered equal (ER, AX R, EH R, AO R, IH R,AW R, R) and are normalized to some common r-colored vowel, such as AXR,including any variations introduced by lexical stress (eg. ER1, AO1 R,IH2 R, etc). If one word has a tail plosive (e.g. ends in T) and anotherword does not, the system may strip away the trailing plosives untilboth words have a common ending normalized phoneme (such as S). Thisallows words like “adios” and “coast” to slant rhyme (e.g. AA2 D IY0 OW1S vs K OW1 S T).

In this exemplary process, the system may determine that two words slantrhyme if they have the same right most stressed vowel and the samenormalized tail vowel, ignoring vowels in between (e.g. raps R AE1 P Svs CH AE1 T S) which match on AE1 and S. The system may also allow twowords to slant rhyme if they both end on an r-colored vowel, whichincludes simple 2-syllable multies such as “bleecher” and “screech sir”and “teacher” vs “teach her”. The system may also allow two words toslant rhyme that end in co-articulated R colored vowels (e.g. “teach-a”instead of “teacher”) of AA, AE, AX, or AXR. If either word ends ineither word's rhyming part, while allowing the other word to havedifferent stress on these phonemes, then the system may consider a thewords to be a perfect slant/tail rhyme.

In some embodiments, any words the system may not know how to pronounce(e.g., because they are not in the system's rhyming dictionary), thesystem may generate a pronunciation from a trained TTS model andretrieve the phonemes from the pronunciation model.

In some embodiments, the system may retrieve the pronunciation directlyfrom the audio without first having to convert the voice to text. Insome cases, the system may use hidden markov models to discover the(hid.den/unknown) phonemes directly from the observed audio, for examplewhere the features are Mel Frequency Cepstral Coefficent (MFCC) vectors,their deltas, and double deltas. In some cases, the system may utilizedynamic time warping to directly compare two MFCC feature vectorsbetween two words, for the tail syllables, to determine if it matches inthe ways described above. Among other things, this allows the system todetermine rhyming words without the need to recover noisy text, whichwould need to be converted back to phonemes.

Accordingly, embodiments of the present disclosure help train speechrecognizers for improving generalized voice experience quality by givingthe user a fun game to play with, as well as increasing engagement with,and discover/sharing of, a chat bot or virtual assistant. Rhymetechnology enables other experiences to be possible as well, such aspoetry or love letter generation, etc. Embodiments of the presentdisclosure also enables a chat bot to participate in the music creationprocess in a social way via the novel rhyming game described herein.

In some embodiments, a user may use a push-to-talk button (e.g., ahardware button or via a software user interface) to send the systemvoice input. In other embodiments, the system may employ a multi-turnexperience without having to push buttons, or a two-way conversationalexperience (e.g., full duplex). Also the embodiments of the presentdisclosure are not limited to voice (e.g. this can work just as well ina text experience, where we can reply back in auto-tuned voice, regularvoice, text, image, or video).

In some embodiments, the system may support “rap battles” rather thanturn by turn interactions. In some cases, the chat bot may let the userrhyme on their own for some number of turns (e.g. a verse) and then thechat bot jumps in. The verse of the user can be enforced to be in thestyle of the chatbot's own rhyming/lyrical style, or it can alternate insome way (e.g., the user does AAAA, chatbot does BBBB, etc), or the useror chatbot pitches what scheme they want, and the opponent must followit to the best of their ability. In some embodiments, the system mayrelax enforcement of following the rhyming scheme such that just havinga rap battle with enough rhyming quality (e.g., the number of words thatrhyme, the number of lines that rhyme, how dense the rhymes are, fewerthan a maximum number of words in between rhyming words) may be deemedacceptable by the system to continue the interaction.

As noted above, the system may operate in conjunction with a variety ofdifferent rhyme schemes, meters, and rhyme types (e.g., internals,multis). For example, in addition to the AAAA scheme the system mayutilize ABAB or ABBA rhyme schemes, as well as others. In a particularexample, Edgar Alan Poe's rhyme scheme from “The Raven” is shown belowusing an ABCBBB rhyme scheme:

Line 1: Once upon a midnight dreary, while I pondered, weak and weary,A;

Line 2: Over many a quaint and curious volume of forgotten lore−B;

Line 3: While I nodded, nearly napping, suddenly there came a tapping,C;

Line 4: As of some one gently rapping, rapping at my chamber door—B;

Line 5: “Tis some visitor,” I muttered, “tapping at my chamber door”—B;

Line 6: “Only this and nothing more.”—B.

In some embodiments, the system may utilize and enforce a particularmeter in the rhyme. For example, Edgar Allen Poe's “The Raven” poemabove uses trochaic octameter, where “trochaic” means a STRESSEDsyllable followed by unstressed (contrast this with Shakespeare's“iambic” which means unstressed then STRESSED), and where “octameter”means 8 feet per line of verse and each trochaic di-syllable pair is onefoot:

ONCE uPON a MIDnight DREARy, WHILE I PONdered, WEAK and

*-*-*-*-*-*-*-

WEARy.

*-

In the example above, the “*” symbol indicates a stressed syllable, and“-” indicates an unstressed syllable. The alternation between stressedand unstressed forms the beat, where the stressed syllable is on thebeat and unstressed syllable is off the beat. Other kinds of feetinclude dactyl (STRESSED unstressed unstressed), which is a tri-syllabicrhyme [meaning three syllables per foot], and anapestic (e.g., DrSeuss's “The Cat in the Hat” used a rhyme called “anapestic tetrameter,”which is similar to Shakespeare's iambic but it has an extra unstressedsyllable at the beginning (e.g. unstressed unstressed STRESSED).

In some embodiments, the system may measure whether the user's inputstays in meter to the chat bot's own meter, or if the user's input staysin meter to whatever meter the user happens to pick. The system mayfurther measure for how long the user stays in meter. In some cases, thesystem may require that the user stay in meter a minimum percentage ofthe time (e.g. 80% of the syllables of the user's verse have to stay inmeter) in order to continue the interaction without generating an alert.

Embodiments of the present disclosure may operate in conjunction withinternal rhymes, which have words internal (not just at the tail end) inone bar/line rhyming with words internal to the next line of a rhymescheme. So in the case of Edgar Allan Poe's “The Raven” (shown againbelow), there are internal rhymes that may not even he bound by therules of the rhyme scheme, and where there is “napping” on the C line inthe scheme rapping with “rapping” in the B line of the scheme, eventhough “lore” and “door” are the rhyming words between the two B lineshere:

Line 1: Once upon a midnight dreary, while I pondered, weak and weary,A;

Line 2: Over many a quaint and curious volume of forgotten lore—B;

Line 3: While I nodded, nearly napping, suddenly there came a tapping,

Line 4: As of some one gently rapping, rapping at my chamber door—B.

In some embodiments, the system detects internal rhymes by finding allnearby rhyming words and then determining a rhyme score based on howmany words perfectly rhyme or slant rhyme. This score may be affectedbased on the number of words in between them (e.g., closer rhymes gethigher scores, and farther rhymes get lower scores). In someembodiments, the system determines whether the rhyme score exceeds apredetermined threshold. For example, if the user achieves a score of300 points or better, the user may continue with the interaction. Inanother example, the user is required to beat chatbot's own rhymingscore to continue. In yet other cases, the system may normalize thescore (e.g., between 0 and 1) by calibrating against the rhymes of allknown user rhyme sessions (e.g.,(userscore—globalmin)/(globalmax—globalmin)), where the average score orabove is deemed as “passing.” The rhyming score can also be calibratedwith some placeholder data from testing until the system has enough datato compute these average, min, and max scores.

The system may also be adapted to operate in conjunction withmulti-syllabic rhymes or “muftis,” which include a group of syllablesconnecting multiple words with a corresponding group of syllablesconnecting the same or different words in the next line. Multi's don'thave to be internal (but they often are), and sometimes occur at the endof a rhyme like tail rhymes, but they are slant rhyming, such as:

a tasty juicy ORANGE served on top of PORRIDGE;

replace the pantry DOOR HINGE and on our quest we FORAGE.

In the example above, we have “O” and “R” and “NGE” and even “GE” stylephoneme chains constituting the multi's. Embodiments of the presentdisclosure may detect multi-syllabic rhymes by measuring distancebetween phonemes (rather than just words themselves). Additionally, thesystem may identify multi's by using probability syllables rhyme withsome probability, such as 50%, based on the surrounding context) ratherthan enforce that only some syllable rhymes with another syllable. Forexample, the vowels in the words “and” and “in” can contribute to therhyming sound of a verse if there are rhyming words next to them orinternal to a line or pair of lines, such as “to here and there and inwe go”, where “ere” “nd” “n” would all contribute to the score with someprobability. The probabilities of rhymes can be computed offline usingmachine learning (e.g., using a markov chain).

Embodiments of the present disclosure may also operate in conjunctionwith holorhymes, which are muftis where every (or almost every) syllablein the previous line rhymes with every (or almost every) syllable in thenext line. In other words, holorhymes are muftis where the distancebetween rhyming syllables is close to 0. For example:

“Poor old Dali loped with an amazin' raging cyst, as

poor Roald Dahl eloped with Anna-May's enraging sisters.”

In the above example, the writer “crosses the bar” between “as” and“poor” (meaning the line of verse carries over from one bar to thenext).

The system may operate with “prime rhymes” (e.g., “bruise crews” or“funny money”) which are sets of words that make sense together and alsorhyme together. In some cases the leading consonants may not match, suchas with “harbor barber” and “shady lady”.

The system may also operate with para rhymes such as “red rod” or “hall”and “hell”. Basically the primary stressed syllable doesn't have torhyme, but the beginning and ending syllables usually do. The system canmeasure para rhymes using a score based and/or rule-based rhymedetection strategy, such as discussed previously.

FIGS. 3A and 3B illustrate aspects of an exemplary rhyming systemaccording to various embodiments of the present disclosure. As usedbelow, the term “beat” refers to an equal and steady pulse (division oftime), while “tempo” refers to how fast or slow beats occur (as measuredin beats per minute), and “meter” refers to a repeating pattern ofaccented and non-accented beats. One iteration of a pattern is called a“measure.”

In this example, the rhyming scenarios depicted in FIGS. 3A and 3Binvolve rhythmic speech by aligning words and syllables with musicalbeats according to tempo and meter. Further, stressed syllables andwords align with the appropriately accented beats while non-stressedsyllables and words fall either on weak beats (non-accented beats) or inbetween beats on various sub-divisions of the beat, depending onword/syllable stresses.

Overall, the interactive experience includes a 4-measure intro followedby several 1-measure prompts, and ending with a 2-measure outro. If theuser misses a rhyme at any point in any of the turn iterations, a2-measure outro will play encouraging the user to try again.

The rhyming scheme in this example includes a 1-measure (4-beat) promptfrom the TTS voice. The final word usually falls on beat 4 and it is theone that the user must rhyme. For example, in the prompt, “Being thisnice should be a crime,” the user must rhyme the word crime. The rhymingsystem aligns this prompt rhythmically as shown in FIG. 3A, withstressed words/syllables in bold.

After hearing this prompt (also referred to above as the instructions tothe user to provide voice input), the user responds by making up theirown rhyme such as, “I'm so nice I'll give you my time.” The systemreceives (205) this voice input response (e.g., via electroniccommunication from the user's computing device), analyzes the response(210), and determining the response matches with the rhyming scheme ofthe prompt, generates and transmits the next prompt continues bystarting the next turn with, “You wanna reach me, you'll have to climb,”depicted in FIG. 3B.

Even though these two phrases are similar, the actual rhythm of thespeech is driven by which syllables need to fall on which beats. In thiscase, the word “you” occurs before the first beat. In musical terms,this is called a “pickup.”

A portion of the disclosure of this patent document may contain materialthat is subject to copyright protection. The copyright owner has noobjection to the facsimile reproduction by anyone of the patent documentor the patent disclosure, as it appears in the Patent and TrademarkOffice patent files or records, but otherwise reserves all copyrightrights whatsoever.

Where a phrase similar to “at least one of A, B, or C,” “at least one ofA, B, and C,” “one or more A, B, or C,” or “one or more of A, B, and C”is used herein, it is intended that the phrase be interpreted to meanthat A alone may be present in an embodiment, B alone may be present inan embodiment, C alone may be present in an embodiment, or that anycombination of the elements A, B and C may be present in a singleembodiment; for example, A and B, A and C, B and C, or A and B and C.

Changes and modifications may be made to the disclosed embodimentswithout departing from the scope of the present disclosure. These andother changes or modifications are intended to be included within thescope of the present disclosure, as expressed in the following claims.

1. (canceled)
 2. A system comprising: a processor; and memory coupled tothe processor and storing instructions that, when executed by theprocessor, cause the system to perform operations comprising:transmitting, via a network, an electronic communication containing afirst voice input from a user; receiving, via the network, an electroniccommunication containing voice instructions to instruct the user toprovide a second voice input in accordance with a rhyme scheme;transmitting, via the network, an electronic communication containingthe second voice input from the user; and receiving, via the network, anelectronic communication result based on an analysis of the second voiceinput, the analysis to determine whether the second voice input complieswith the rhyme scheme, and the electronic communication resultcontaining either: voice instructions to the user to instruct the userto provide a third voice input in accordance with the rhyme scheme, upondetection that the second voice input complies with the rhyme scheme; oran alert that the second voice input does not comply with the rhymescheme, in the event the second voice input does not comply with therhyme scheme.
 3. The system of claim 2, wherein the voice instructionsto the user to provide the second voice input in accordance with therhyme scheme include an example of the rhyme scheme.
 4. The system ofclaim 3, wherein the example of the rhyme scheme comprises a firstplurality of verses, and wherein each verse in the first plurality ofverses complies with the rhyme scheme.
 5. The system of claim 3, whereinthe voice instructions to the user instruct the user to provide thethird voice input in accordance with the rhyme scheme includes anexample of the rhyme scheme comprising a second plurality of verses,wherein the first plurality of verses is different from the secondplurality of verses, and wherein each verse in the second plurality ofverses complies with the rhyme scheme.
 6. The system of claim 2, whereinthe alert includes an indication that the user's second voice inputfailed to comply with the rhyme scheme and further voice instructionscustomized to the user's second voice input for complying with the rhymescheme.
 7. The system of claim 2, wherein the analysis of the secondvoice input includes determining the second voice input includesoffensive content, and wherein the alert includes a warning regardingthe offensive content.
 8. The system of claim 2, wherein the rhymescheme includes one or more of: a perfect rhyme, an imperfect rhyme, anidentical rhyme, an eye rhyme, a half rhyme, a multi-syllabic rhyme, aprime rhyme, a pararhyme, and an internal rhyme.
 9. The system of claim2, wherein the voice instructions to the user to instruct the user toprovide the second voice input are matched to one or more of: a tempo ofa sample of music, and a pitch of the sample of music.
 10. The system ofclaim 2, wherein the first voice input from the user is received via amicrophone included in a client device and includes parameters for theinstructions to the user to provide the second voice input, theparameters including one or more of: a number of syllables for a measureof lyrics, the rhyme scheme, and subject matter for the second voiceinput.
 11. The system of claim 2, wherein the analysis of the secondvoice input includes identification of one or more syllables for eachword in the second voice input, and identification of one or morephonemes for each identified syllable.
 12. The system of claim 11,wherein the analysis of the second voice input further includesidentification of a level of stress for each identified phoneme.
 13. Thesystem of claim 12, wherein the determination of whether the secondvoice input complies with the rhyme scheme is based on the identifiedlevel of stress for each identified phoneme.
 14. The system of claim 11,wherein the rhyme scheme is a slant rhyme scheme, and wherein theanalysis of the second voice input includes normalization of a phonemefrom the one or more phonemes in a word from the second voice input andnormalization of a vowel within the normalized phoneme.
 15. The systemof claim 14, wherein the analysis of the second voice input includesnormalization of vowels from the word within the second voice input. 16.The system of claim 14, wherein the analysis of the second voice inputincludes stripping trailing plosives from the word within the secondvoice input.
 17. The system of claim 16, wherein the determination ofwhether the second voice input complies with the rhyme scheme is basedon the normalized vowels.
 18. The system of claim 2, wherein theanalysis of the second voice input includes analysis of words within thesecond voice input without first conversion of the second voice input totext.
 19. The system of claim 2, wherein the analysis of the secondvoice input includes generation of and comparison of Mel FrequencyCepstral Coefficient vectors based on the second voice input.
 20. Acomputer-implemented method comprising: transmitting, via a network, anelectronic communication containing a first voice input from a user;receiving, via the network, an electronic communication containing voiceinstructions to instruct the user to the user to provide a second voiceinput in accordance with a rhyme scheme; transmitting, via the network,an electronic communication containing the second voice input from theuser; and receiving, via the network, an electronic communication resultbased on an analysis of the second voice input, the analysis todetermine whether the second voice input complies with the rhyme scheme,and the electronic communication result containing either: voiceinstructions to instruct the user to the user to provide a third voiceinput in accordance with the rhyme scheme, upon detection that thesecond voice input complies with the rhyme scheme; or an alert that thesecond voice input does not comply with the rhyme scheme, in the eventthe second voice input does not comply with the rhyme scheme.
 21. Anon-transitory computer-readable medium storing instructions that, whenexecuted by a computing device, cause the computer system to performoperations comprising: transmitting, via a network, an electroniccommunication containing a first voice input from a user; receiving, viathe network to the computing device of the user, an electroniccommunication containing voice instructions to the user to instruct theuser to provide a second voice input in accordance with a rhyme scheme;transmitting, via the network from the computing device of the user, anelectronic communication containing the second voice input from theuser; and receiving, via the network, an electronic communication resultbased on an analysis of the second voice input, the analysis todetermine whether the second voice input complies with the rhyme scheme,and the electronic communication result containing either: voiceinstructions to the user to instruct the user to provide a third voiceinput in accordance with the rhyme scheme, upon detection that thesecond voice input complies with the rhyme scheme; or an alert that thesecond voice input does not comply with the rhyme scheme, in the eventthe second voice input does not comply with the rhyme scheme.